Woodside Energy (WDS) Non Operating Interest Expenses (2020 - 2023)
Woodside Energy's Non Operating Interest Expenses was -$299 million in FY2025, compared with -$365 million in FY2024.
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Analysis
Woodside Energy (WDS) Non Operating Interest Expenses (2020 - 2023) Analysis & Trends
From FY2020 onward, Woodside Energy has reported Non Operating Interest Expenses for 6 years.
- The FY2025 figure marks the highest annual Non Operating Interest Expenses since FY2022.
- Per Business Quant data, Non Operating Interest Expenses in earlier years was -$365 million in FY2024, -$307 million in FY2023, -$167 million in FY2022 and -$230 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 1.11 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 352.00 Mn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | -572.00 Mn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | -2.40 Bn |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 182.00 Mn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | - |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 314.00 Mn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 172.06 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | - |
| 10 | Woodside Energy | 42.13 Bn | 37.90 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -34.00 Mn |
| Dec 31, 2022 | -12.00 Mn |
| Dec 31, 2021 | -203.00 Mn |
| Dec 31, 2020 | -269.00 Mn |
API Access
Woodside Energy Non Operating Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=WDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=WDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();